TSRuleGrowth: Mining partially-ordered prediction rules from a time series of discrete elements, application to a context of ambient intelligence - Archive ouverte HAL
Communication Dans Un Congrès Année : 2019

TSRuleGrowth: Mining partially-ordered prediction rules from a time series of discrete elements, application to a context of ambient intelligence

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Intelligence artificielle [cs.AI]

Benoit Vuillemin  : Connectez-vous pour contacter le contributeur

https://hal.science/hal-02305993

Soumis le : vendredi 4 octobre 2019-17:04:01

Dernière modification le : mercredi 4 septembre 2024-17:34:07

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hal-02305993 , version 1 (04-10-2019)

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Benoit Vuillemin, Lionel Delphin-Poulat, Rozenn Nicol, Laëtitia Matignon, Salima Hassas. TSRuleGrowth: Mining partially-ordered prediction rules from a time series of discrete elements, application to a context of ambient intelligence. ADMA: Advanced Data Mining and Applications, Nov 2019, Dalian, China. ⟨10.1007/978-3-030-35231-8_9⟩. ⟨hal-02305993⟩

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